{"id":"W4391995172","doi":"10.3390/curroncol31030084","title":"Lung Cancer Prevalence in Virginia: A Spatial Zipcode-Level Analysis via INLA","year":2024,"lang":"en","type":"article","venue":"Current Oncology","topic":"Data-Driven Disease Surveillance","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Cancer Institute; National Institutes of Health","keywords":"Covariate; Demography; Poisson regression; Overdispersion; Population; Statistics; Medicine; Geography; Gerontology; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003516367,0.0002057108,0.0006289348,0.0005436761,0.00002807286,0.00001913818,0.0001915177,0.0001245308,0.001403854],"category_scores_gemma":[0.0001630266,0.0001863135,0.0002075388,0.001224176,0.0001222128,0.0001017699,0.0001401859,0.0004702589,0.0001298307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007988372,"about_ca_system_score_gemma":0.0007290183,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003060676,"about_ca_topic_score_gemma":0.002532243,"domain_scores_codex":[0.9980801,0.0001795099,0.0004408595,0.0006195802,0.0002856371,0.000394301],"domain_scores_gemma":[0.999016,0.0002018489,0.00007866187,0.0004093349,0.00009703838,0.0001971153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001945554,0.0004568117,0.7345639,0.001271464,0.0006137189,0.0003608031,0.0004088397,0.0001073459,0.0002197026,0.00005453915,0.008004691,0.2537436],"study_design_scores_gemma":[0.00112873,0.0001311372,0.7964209,0.0004349083,0.001740649,0.00001788492,0.00001506089,0.08802556,0.00003279737,0.00004245941,0.1117828,0.0002271405],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8975042,0.06992835,0.0191179,0.002530298,0.005300321,0.001238974,0.001826861,0.0003866425,0.00216645],"genre_scores_gemma":[0.99621,0.002096046,0.0001775209,0.0001410833,0.000479351,0.0002507654,0.0002723994,0.00002466215,0.0003482205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2535165,"threshold_uncertainty_score":0.999509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06959483743361028,"score_gpt":0.443818454746742,"score_spread":0.3742236173131317,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}